9 research outputs found

    Just ClozE! A Novel Framework for Evaluating the Factual Consistency Faster in Abstractive Summarization

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    The issue of factual consistency in abstractive summarization has received extensive attention in recent years, and the evaluation of factual consistency between summary and document has become an important and urgent task. Most of the current evaluation metrics are adopted from the question answering (QA) or natural language inference (NLI) task. However, the application of QA-based metrics is extremely time-consuming in practice while NLI-based metrics are lack of interpretability. In this paper, we propose a cloze-based evaluation framework called ClozE and show the great potential of the cloze-based metric. It inherits strong interpretability from QA, while maintaining the speed of NLI- level reasoning. We demonstrate that ClozE can reduce the evaluation time by nearly 96% relative to QA-based metrics while retaining their interpretability and performance through experiments on six human-annotated datasets and a meta-evaluation benchmark GO FIGURE (Gabriel et al., 2021). Finally, we discuss three important facets of ClozE in practice, which further shows better overall performance of ClozE compared to other metrics.Comment: The manuscript for JAI

    The uses of zebrafish (Danio rerio) as an in vivo model for toxicological studies: A review based on bibliometrics

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    An in vivo model is necessary for toxicology. This review analyzed the uses of zebrafish (Danio rerio) in toxicology based on bibliometrics. Totally 56,816 publications about zebrafish from 2002 to 2023 were found in Web of Science Core Collection, with Toxicology as the top 6 among all disciplines. Accordingly, the bibliometric map reveals that “toxicity” has become a hot keyword. It further reveals that the most common exposure types include acute, chronic, and combined exposure. The toxicological effects include behavioral, intestinal, cardiovascular, hepatic, endocrine toxicity, neurotoxicity, immunotoxicity, genotoxicity, and reproductive and transgenerational toxicity. The mechanisms include oxidative stress, inflammation, autophagy, and dysbiosis of gut microbiota. The toxicants commonly evaluated by using zebrafish model include nanomaterials, arsenic, metals, bisphenol, and dioxin. Overall, zebrafish provide a unique and well-accepted model to investigate the toxicological effects and mechanisms. We also discussed the possible ways to address some of the limitations of zebrafish model, such as the combination of human organoids to avoid species differences

    An Improved AMCL Algorithm Based on Laser Scanning Match in a Complex and Unstructured Environment

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    Adaptive Monte Carlo localization (AMCL) algorithm has a limited pose accuracy because of the nonconvexity of the laser sensor model, the complex and unstructured features of the working environment, the randomness of particle sampling, and the final pose selection problem. In this paper, an improved AMCL algorithm is proposed, aiming to build a laser radar-based robot localization system in a complex and unstructured environment, with a LIDAR point cloud scan-matching process after the particle score calculating process. The weighted mean pose of AMCL particle swarm is used as the initial pose of the scan matching process. The LIDAR point cloud is matched with the probability grid map from coarse to fine using the Gaussian-Newton method, which results in more accurate poses. Moreover, the scan-matching pose is added into the particle swarm as a high-weight particle. So the particle swarm after resampling will be more concentrated in the correct position. The particle filter and the scan-matching process form a closed loop, thus enhancing the localization accuracy of mobile robots. The experiment results demonstrate that the proposed improved AMCL algorithm is superior to the traditional AMCL algorithm in the complex and unstructured environment, by exploiting the high-accuracy characteristic of scan matching while inheriting the stability of AMCL

    Neuroprotective Effect of α-Lipoic Acid against Aβ<sub>25–35</sub>-Induced Damage in BV2 Cells

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    The prevalence of Alzheimer’s disease (AD) is significantly increasing due to the aging world population, and the currently available drug treatments cannot cure or even slow its progression. α-lipoic acid (LA) is a biological factor widely found in spinach and meat and can dissolve in both lipid and aqueous phases. In medicine, LA has been shown to reduce the symptoms of diabetic polyneuropathy, acute kidney injury, cancers, and some metabolism-related diseases. This study to proves that α-lipoic acid (LA) can stabilize the cognitive function of patients with Alzheimer’s disease (AD). BV2 cells were divided into control, LA, Aβ25–35, and LA + Aβ25–35 groups. Cell growth; IL-6, IL-1β, TNF-α, IFN-γ, SOD, GPx, CAT, ROS, NO, and iNOS secretion; Wnt-related proteins; cell apoptosis; and cell activation were examined. Here, we found that LA could effectively repress apoptosis and changes in the morphology of microglia BV2 cells activated by Aβ25–35, accompanied by the inhibition of the inflammatory response induced by Aβ25–35. The Wnt/β-catenin pathway is also involved in preventing Aβ25–35-induced cytotoxicity in microglia by LA. We found an inhibitory effect of LA on microglia toxicity induced by Aβ25–35, suggesting that a combination of anti-inflammatory and antioxidant substances may offer a promising approach to the treatment of AD

    Neuroprotective Effect of &alpha;-Lipoic Acid against A&beta;25&ndash;35-Induced Damage in BV2 Cells

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    The prevalence of Alzheimer&rsquo;s disease (AD) is significantly increasing due to the aging world population, and the currently available drug treatments cannot cure or even slow its progression. &alpha;-lipoic acid (LA) is a biological factor widely found in spinach and meat and can dissolve in both lipid and aqueous phases. In medicine, LA has been shown to reduce the symptoms of diabetic polyneuropathy, acute kidney injury, cancers, and some metabolism-related diseases. This study to proves that &alpha;-lipoic acid (LA) can stabilize the cognitive function of patients with Alzheimer&rsquo;s disease (AD). BV2 cells were divided into control, LA, A&beta;25&ndash;35, and LA + A&beta;25&ndash;35 groups. Cell growth; IL-6, IL-1&beta;, TNF-&alpha;, IFN-&gamma;, SOD, GPx, CAT, ROS, NO, and iNOS secretion; Wnt-related proteins; cell apoptosis; and cell activation were examined. Here, we found that LA could effectively repress apoptosis and changes in the morphology of microglia BV2 cells activated by A&beta;25&ndash;35, accompanied by the inhibition of the inflammatory response induced by A&beta;25&ndash;35. The Wnt/&beta;-catenin pathway is also involved in preventing A&beta;25&ndash;35-induced cytotoxicity in microglia by LA. We found an inhibitory effect of LA on microglia toxicity induced by A&beta;25&ndash;35, suggesting that a combination of anti-inflammatory and antioxidant substances may offer a promising approach to the treatment of AD
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